Desmond Cheong — Software Engineer
Numbers. Dates. Short strings. Structs. (And timestamps, arrays, maps, etc). Long ago, the simple data types lived together in harmony in our business intelligence systems. Then, everything changed when the ML wave attacked. Only declarative queries, master of all data operations, could maintain expressiveness and performance. But when model trainers needed them most, they vanished. A decade passed and our distributed systems discovered new requirements: unstructured data and multimodality. And although our cloud platforms are scalable, they have a lot to learn before they're ready to process large and complex data types efficiently (and without OOMing). But I believe Daft can save our workloads. More details about my work and experiences can be found at desmondcheong.com
Stackforce AI infers this person is a Software Engineer with a focus on data science and machine learning.
Location: San Francisco, California, United States
Experience: 6 yrs 6 mos
Career Highlights
- Strong foundation in data science and machine learning.
- Experience in software engineering across multiple companies.
- Teaching assistant roles demonstrate commitment to education.
Work Experience
Eventual
Software Engineer (1 yr 8 mos)
Databricks
Software Engineer (1 yr 11 mos)
The Linux Foundation
Linux Kernel Intern (2 mos)
Brown University
Head Teaching Assistant for CSCI1270 Database Management Systems (9 mos)
Teaching Assistant for DSI1050 Data Engineering (3 mos)
INTELLLEX
Data Science Intern (3 mos)
Brown University
Teaching Assistant for CSCI1450 Probability for Computing and Data Analysis (3 mos)
Findify
Business Development Intern (1 mo)
Tinkertanker
Part-time Course Instructor (0 mo)
Singapore Armed Forces (SAF)
Specialist, Tank Leader (1 yr 10 mos)
DSO National Laboratories
Research Intern (1 mo)
Education
Bachelor's degree at Brown University
Singapore-Cambridge GCE A-Level at Raffles Institution
